Showing 2,281 - 2,300 results of 3,675 for search 'issues classification', query time: 0.15s Refine Results
  1. 2281

    Socializing AI: Integrating Social Network Analysis and Deep Learning for Precision Dairy Cow Monitoring—A Critical Review by Sibi Chakravathy Parivendan, Kashfia Sailunaz, Suresh Neethirajan

    Published 2025-06-01
    “…Moreover, we explicitly discuss ethical challenges and data governance issues, emphasizing data transparency and animal welfare concerns within precision livestock contexts. …”
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    Article
  2. 2282

    Swin-PSO-SVM: A Novel Hybrid Model for Monkeypox Early Detection by Hager Saleh, Sherif Mostafa, Alshimaa H. Ismail, Sumit Srivastava, Saeed Hamood Alsamhi

    Published 2024-01-01
    “…A resurgent zoonotic disease called monkeypox presents serious public health issues, especially in locations with low resources where prompt and correct diagnosis is essential. …”
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    Article
  3. 2283

    A Novel Biclustering Algorithm Based on Differential Sparsity Constraints and Dynamic Graph Regularization for Cancer Gene Expression Data by Dan Li, Peicong Song, Jia Wang

    Published 2025-01-01
    “…Biclustering is an effective method for identifying biologically significant gene modules, which aims at extracting gene modules enriched with more information and achieving accurate cancer subtype classification. However, most biclustering algorithms based on sparse singular value decomposition overlook the differences in sparsity between gene and sample dimensions in real cancer gene expression data. …”
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    Article
  4. 2284

    Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

    Published 2024-12-01
    “…It uniquely supports both conventional and deep learning models for regression, classification and multi-task, offering unmatched flexibility compared to other AutoML tools. …”
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    Article
  5. 2285

    Assessing Utilization of Information Access Tools in Academic Libraries: A Case Study of National Teachers College Kabale. by Arimpwera, Phiona

    Published 2023
    “…A qualitative case study research design was preferred because it helped the researcher to study the selected issues in depth. The sample size comprised of 180 respondents. …”
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    Thesis
  6. 2286

    Modern approach to automation of internal control of quality and safety of medical care by S. Y. Morozov, M. A. Morozova, L. E. Morozova

    Published 2022-03-01
    “…We identified the main issues in organizing internal control of quality and safety of medical care associated with the introduction of intranet web portals in Moscow healthcare system’s organizations. …”
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    Article
  7. 2287

    EVALUATION OF POTENTIAL RISK POSED BY MEDICATIONS TO THE FETUS by S.A. Sher, A.V. Ostrovskaya

    Published 2010-05-01
    “…Further research in this area makes it possible to improve the classification of medications by degree of their embryotoxic and teratogenic risk and address the issue of selecting safe medications during pregnancy. …”
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    Article
  8. 2288

    NeSyDPP-4: discovering DPP-4 inhibitors for diabetes treatment with a neuro-symbolic AI approach by Delower Hossain, Delower Hossain, Ehsan Saghapour, Ehsan Saghapour, Jake Y. Chen, Jake Y. Chen, Jake Y. Chen

    Published 2025-07-01
    “…However, current DPP-4 inhibitors may cause adverse effects, including gastrointestinal issues, severe joint pain (FDA safety warning), nasopharyngitis, hypersensitivity, and nausea. …”
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    Article
  9. 2289

    Psychometric Model of College Students Based on Time Series Analysis and Its Application in Educational Management by Lu Lu

    Published 2022-01-01
    “…The psychological measurement method of college students is a hot issue in the field of educational management research. …”
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    Article
  10. 2290

    Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

    Published 2025-05-01
    “…Finally, the coupled detection head of YOLOv7-tiny is replaced with a more efficient decoupled head, which separates feature channels for localization and classification tasks and enhances both classification and localization accuracy. …”
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    Article
  11. 2291

    A data mining technique for detecting malignant mesothelioma cancer using multiple regression analysis by Alali Abdulla Mousa Falah, Padmaja Dhyaram Lakshmi, Soni Mukesh, Khan Muhammad Attique, Khan Faheem, Ofori Isaac

    Published 2023-11-01
    “…Lung cancer is a substantial health issue globally, and it is one of the main causes of mortality. …”
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    Article
  12. 2292

    Hydraulic brake fault detection from acoustic signals using frequency domain filter bank integrated deep learning framework by Saumye Saran Das, Raushan Kumar, Manas Ranjan Prusty, Tapan K. Mahanta, Subhra Rani Patra

    Published 2025-12-01
    “…Brake failure is a critical safety issue in the automotive industry, often resulting from mechanical wear, hydraulic malfunctions, or electronic failure. …”
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    Article
  13. 2293

    SceEmoNet: A Sentiment Analysis Model with Scene Construction Capability by Yi Liang, Dongfang Han, Zhenzhen He, Bo Kong, Shuanglin Wen

    Published 2025-08-01
    “…However, current sentiment analysis models lack such imagination; they can only analyze based on existing information in the text, which limits their classification accuracy. To address this issue, we propose the SceEmoNet model. …”
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    Article
  14. 2294

    Extraction of Garlic in the North China Plain Using Multi-Feature Combinations from Active and Passive Time Series Data by Chuang Peng, Binglong Gao, Wei Wang, Wenji Zhu, Yongqi Chen, Chao Dong

    Published 2024-09-01
    “…Feature combinations were devised, incorporating two vegetation indices into a comprehensive time series, along with Sentinel-1 synthetic aperture radar (SAR) time series and other temporal datasets. Multiple classification combinations were employed to extract garlic within the study area, and the accuracy of the classification results was systematically analyzed. …”
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    Article
  15. 2295

    Diagnosis and Detection of Alzheimer’s Disease Using Learning Algorithm by Gargi Pant Shukla, Santosh Kumar, Saroj Kumar Pandey, Rohit Agarwal, Neeraj Varshney, Ankit Kumar

    Published 2023-12-01
    “…In Computer-Aided Detection (CAD) brain disease classification is a vital issue. Alzheimer’s Disease (AD) and brain tumors are the primary reasons of death. …”
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    Article
  16. 2296

    Supervised Machine Learning Thyroid Carcinoma Diagnosis Using Wide-Field SHG Microscopy by Yaraslau Padrez, Radu Hristu, Igor Timoshchenko, Lucian G. Eftimie, Danielis Rutkauskas, Lena Golubewa

    Published 2025-01-01
    “…To address this issue, we applied unsupervised segmentation to exclude mislabeled regions and consider capsular heterogeneity as a diagnostic feature. …”
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    Article
  17. 2297

    Grain Size Effects on Visible and Near-infrared (0.35–2.5 μm) Laboratory Spectra of Rare Meteorite Classes by K. I. Ridenhour, V. Reddy, A. Battle, D. Cantillo, N. C. Pearson, J. A. Sanchez

    Published 2024-01-01
    “…We analyzed the reflectance properties, diagnostic spectral band parameters (band centers and band area ratios), spectral slope, and taxonomic classification. The spectra were analyzed using principal component analysis to detect trends in principal component (PC) space and the impact on asteroid taxonomic classification in the Bus–DeMeo system. …”
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    Article
  18. 2298

    Sur le classement des relatives adjectives by Jacques Evouna

    Published 2015-06-01
    “…We examine in what follows a typological issue: the classification of restrictive and non-restrictive relative clauses. …”
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    Article
  19. 2299
  20. 2300

    DCS-based MBSBL joint reconstruction of multi-sensors data for energy-efficient telemonitoring of human activity by Jianning Wu, Jiajing Wang, Yun Ling

    Published 2018-03-01
    “…The results showed that when compression rates are selected properly, our proposed technique can gain the best joint reconstruction performance as well as energy efficiency of sensors, which greatly contributes to the best sparse representation classification–based activity classification performance. …”
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    Article